{"id":"W4400649902","doi":"10.1080/10962247.2024.2380333","title":"Evaluation of WRF-Chem air quality forecasts during the AEROMMA and STAQS 2023 field campaigns","year":2024,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Weather Research and Forecasting Model; Environmental science; Meteorology; Air pollutants; Air pollution; Atmospheric sciences; Geography; Physics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00362262,0.00007565085,0.000120199,0.00000977243,0.0001308498,0.00004904062,0.0001843148,0.00004337078,0.0001766973],"category_scores_gemma":[0.0001888476,0.00004383074,0.0001065042,0.0001916252,0.00001559695,0.0002069468,0.0000348499,0.0001593359,0.000003591595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006251023,"about_ca_system_score_gemma":0.00002964747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005388093,"about_ca_topic_score_gemma":0.0001370979,"domain_scores_codex":[0.9983692,0.0002136617,0.0003345488,0.00008797887,0.0008753798,0.000119255],"domain_scores_gemma":[0.9990456,0.0002471432,0.000446863,0.0001183919,0.0001161356,0.00002593796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002523129,0.00009178021,0.6740687,0.001118485,0.002482473,0.00001876252,0.004445773,0.1147363,0.00306813,0.0001841516,0.02048758,0.1790456],"study_design_scores_gemma":[0.0007991117,0.0001040794,0.9663723,0.0003352849,0.0006813807,0.00001032747,0.004956995,0.01557206,0.007041872,0.002542602,0.001415586,0.0001684166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930517,0.0004404031,0.0000611373,0.002551983,0.0004284827,0.0001545508,0.000009522721,0.000005834513,0.003296364],"genre_scores_gemma":[0.9973189,0.00007421996,0.00007229683,0.00008442757,0.0001939576,7.482587e-7,0.000002444293,0.000002073053,0.002250925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2923036,"threshold_uncertainty_score":0.1934711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196057666051976,"score_gpt":0.25476270993789,"score_spread":0.2351569433326924,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}